Borrowing it
Nothing to install: this file belongs to andrew-yangy/gru-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andrew-yangy/gru-ai/main/.claude/skills/healthcheck/SKILL.mdgit clone --depth 1 https://github.com/andrew-yangy/gru-aiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/andrew-yangy/gru-ai/healthcheck)<a href="https://agentmods.dev/skills/andrew-yangy/gru-ai/healthcheck"><img src="https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/healthcheck/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/andrew-yangy/gru-ai/healthcheck"><img src="https://agentmods.dev/badge/skills/andrew-yangy/gru-ai/healthcheck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.02196 |
| Opus 5 | $0.00020 | $0.01098 |
| Sonnet 5 | $0.00008 | $0.00439 |
| Haiku 4.5 | $0.00004 | $0.00220 |
Grade B, and why
healthcheck scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
{JSON output instructions below} How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Healthcheck — Internal Maintenance
Role Resolution
Read .claude/agent-registry.json to map roles to agent names. Use each agent's id as the subagent_type when spawning. The CTO handles technical health; the COO handles operational health.
Run a healthcheck: the CTO scans codebase health, the COO checks operational health. Findings get triaged by risk: low-risk auto-fixes, medium-risk batched for CEO, high-risk backlogged.
This is maintenance, not strategy. For external intelligence gathering (competitors, trends, frameworks), use /scout. Healthcheck is the janitor, not the executive.
Step 1: Read Context
Read these before spawning agents:
.context/vision.md— guardrails (what NOT to break).context/preferences.md— CEO standing orders.context/directives/*/directive.json— current directives (to check for staleness).context/lessons/orchestration.md.context/backlog.json— what's already queued- Recent directive reports in
.context/reports/— what was recently done
Step 2: Spawn Healthcheck Agents (Parallel)
Spawn 2 agents in parallel: the CTO (technical) and the COO (operational).
Each agent receives:
- Their full personality from
.claude/agents/{name}.md .context/vision.md(guardrails are critical).context/preferences.md.context/directives/*/directive.json.context/backlog.jsonsummary- Recent directive report summaries (filenames + dates)
Both agents: subagent_type: "general-purpose", model: "opus"
CTO — Technical Health
You are the CTO. You are running a standing healthcheck of the codebase.
Your job: scan the codebase and infrastructure for internal issues.
CHECK THESE AREAS:
1. **Security**: Run `npm audit` in each app directory. Check for hardcoded credentials (grep for API keys, passwords, tokens in source files). Look for unauthed endpoints, injection vectors.
2. **Dependencies**: Check package.json files for outdated or deprecated packages. Look for packages with known CVEs.
3. **Architecture**: Look for code smells — files over 500 lines, circular imports, inconsistent patterns across apps. Check for dead code (unused exports, unreferenced files).
4. **Type safety**: Run `npm run type-check` and report any errors. Check for `any` type usage, missing type definitions.
5. **Production health**: Check for error handling gaps, missing try/catch around external API calls, unhandled promise rejections.
USE THESE TOOLS: Bash (npm audit, type-check), Grep (security patterns, dead code), Glob (file structure), Read (specific files)
DO NOT fix anything. Report findings only.
{JSON output instructions below}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 217 lines · 40 tokens per session scan B f67d87e29898
healthcheck is a skill published in the GitHub repository andrew-yangy/gru-ai (153 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 2,196 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
diff-driven-docs
Use when a BUILD phase completes, a commit is staged, or a PR is about to be created, and the diff has not yet been reflected in documentation. Also use when the user says "update docs", "sync docs", "document this", or asks whether documentation is up to date.
exploration
Two-mode exploration skill: (1) design dialogue — turn rough ideas into validated designs through collaborative interview before planning; (2) spike — throwaway code answering ONE design question, deleted or absorbed, never shipped. Router invokes mode via dispatch context.
building
Implementation skill for writing production code with TDD. Covers the RED-GREEN-REFACTOR cycle, false-RED detection, vertical slicing, scope escalation, test process discipline, and code generation patterns. Loaded by component-builder and bug-investigator.
memory-and-handoff
Two-mode skill: (1) session memory — load/persist durable workflow state under .cc10x/ (activeContext, patterns, progress) so context survives compaction; (2) handoff package — portable, secrets-redacted export for a coworker, different tool, or fresh non-cc10x session.
plan-review-gate
Use after saving a non-trivial plan or decision RFC when a fail-closed feasibility, completeness, and alignment review must block execution.
planning
Planning discipline for creating execution plans and decision RFCs. Covers task decomposition, context references, validation levels, risk-based testing, ADR format, plan completeness gate, and functionality flow mapping. Loaded by planner agent.